Connected Edge AI across smart glasses, mobile devices, and edge infrastructure
01 / 04
Our Products

Edge AI Workload Framework

Accelerate the development and deployment of your Edge AI applications

Edge AI Products

One platform architecture across infrastructure, mobile devices, and smart glasses.

Edge AI Workload Framework

iota-e Edge AI workload framework
  • Open, API-driven Edge AI workload framework
  • Optimized for Intel, Qualcomm, and NVIDIA edge platforms
  • AI model plug-in, data processing, alerting, and communications
Explore iota-e

Mobile AI SDK Android phones and tablets

iota-dm Mobile AI SDK
  • On-device AI and human-machine interaction
  • VoLTE, VoNR, VoIP, PTT, SMS, and RCS SDKs
  • Reference apps and Android integration support
Explore iota-dm

Glass AI SDK Smart glasses and XR devices

iota-dg Glass AI SDK
  • Hands-free AI guidance and visual overlays
  • On-device inferencing with resilient operation
  • PTT, communications, and app integration support
Explore iota-dg

Infrastructure AI Products

Edge AI Workload Framework

Open Edge AI Workload Framework for Industrial and Private Network Environments

iota-e: iota-e is built on an open, API-driven architecture that lets developers build once and deploy many workloads — vision inspection, predictive maintenance, voice assistance, worker safety — through consistent interfaces, so enterprises can standardize across sites and add workloads without re-architecting.
Optimized for Leading Edge Computing Platforms: Optimized for Intel, Qualcomm, and NVIDIA, taking advantage of each vendor’s NPUs, GPUs, and dedicated AI accelerators.
Flexible Model Plug-In for LLMs, RAG, and Beyond: A flexible plug-in that lets developers bring in open-source, enterprise, or third-party models via standard formats such as ONNX for easy optimization and quantization, with RAG support to ground models in enterprise-specific knowledge.
Distributed Inferencing Across a Broad Range of Devices: iota-e distributes AI inferencing across smart glasses, smartphones, edge gateways, and AI data centers via open APIs, so workloads run wherever appropriate through one consistent developer API.
Intelligent Enterprise Data Processing: Data ingestion from industrial sensors, cameras, and enterprise data. iota-e unifies these data sources into one coherent pipeline that lets a single workload reason across sensor, visual, and document context at once.
Support for Natural Human-Machine Interaction: Support for natural, low-friction interaction with frontline workers — voice commands, visual overlays on smart glasses, touch and gesture on mobile devices — so workers get guidance without breaking focus from the task at hand.
Alert Management Engine: A robust alert engine that detects anomalies as they happen, routes alerts by severity, and tracks them through resolution, supporting escalation to agents and/or humans.
Built-in Real-Time Communications Servers: Standards-compliant real-time communications servers for 3GPP/5G environments support PTT and voice/video calling, turning AI insights into coordinated human action.
Connectivity Resilience: Gracefully handles cloud drops and local disconnections with end-user devices, shifting inference to whatever compute is reachable and reconciling once connectivity returns.
Management Console for Onboarding and Device Management: A centralized management console handles device onboarding, health monitoring, updates, and workload management across endpoints, giving OT and IT teams visibility without touching every device individually.

Device AI Products

Mobile AI SDK (Android Phones & Tablets)

Mobile AI SDK for Android Phones and Tablets — Distributed AI Inferencing and Communications at the Edge

On-Device AI SDK: Runs a distilled, quantized version of the same LLM/SLM deployed on iota-e.
Human-Machine Interaction SDK: Voice and touch-based interaction for AI-guided workflows, alerts, and notifications on Android phones and tablets.
Communications Client SDKs: Standards-based VoLTE (GSMA IR.92), VoNR (NG.114), VoIP (IETF), and IMS-based PTT.
Messaging Client SDKs: Standards-based SMS over IMS (IR.92) and RCS (GSMA UP1.0 and UP2.x).

Glass AI SDK (Smart Glasses and XR Devices)

Glass SDK for Smart Glasses and XR Devices — Hands-Free AI Guidance and Communications in the Field

On-Device AI SDK: Runs a distilled, quantized version of the same LLM/SLM deployed on iota-e, sized for the smart glasses form factor, for AI-guided operations.
Human-Machine Interaction SDK: Voice commands and visual overlay for hands-free AI guidance, alerts, and step-by-step instructions.
Communications and Messaging: Tethered to a mobile phone.

Device Communications Products

Device Communication SDK

Phones, PC, Tablets, AR/VR, Wearables

VoLTE/IMS Client SDK: 4G Voice Communication Functions covering GSMA Voice over LTE (VoLTE, based on IR.92).
VoNR/IMS Client SDK: 5G Voice Communication Functions covering GSMA Voice over NR (VoNR, based on NG.114).
ViLTE Client SDK: 4G and 5G Video Communication Functions covering GSMA Video over LTE (ViLTE, based on IR.94).
VoIP/SIP SDK: OTT (4G, 5G, and Wi-Fi) Communication Functions covering Voice over IP (VoIP, based on IETF specifications).
MCPTT SDK: 3GPP-compliant Mission Critical Push-to-Talk.
SMS/IMS SDK: SMS Messaging Functions covering GSMA SMS over LTE (SMS over IMS, based on IR.92).
RCS/IMS SDK: 5G Advanced Messaging Functions covering GSMA RCS UP1.0 and UP2.x per mobile operator profile.